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Machine Learning

[R] I trained a 3k parameter model on XOR sequences of length 20. It extrapolates perfectly to length 1,000,000. Here's why I think that's architecturally significant.

I've been working on an alternative to attention-based sequence modeling that I'm calling Geometric Flow Networks (GFN). The core idea: i...

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Machine Learning

[D] Data curation and targeted replacement as a pre-training alignment and controllability method

Hi, r/MachineLearning: has much research been done in large-scale training scenarios where undesirable data has been replaced before trai...

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Ai Safety

I’ve come up with a new thought experiment to approach ASI, and it challenges the very notions of alignment and containment

I’ve written an essay exploring what I’m calling the Super-Intelligent Octopus Problem—a thought experiment designed to surface a paradox...

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Ai Safety

Bias in AI: Examples and 6 Ways to Fix it in 2026

AI bias is an anomaly in the output of ML algorithms due to prejudiced assumptions. Explore types of AI bias, examples, how to reduce bia...

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